«The knowledge graph grows and relationships are created over time as additional content is
processed by our machine learning algorithms,» Pfeifer said.
Not exact matches
Machine learning refers to a
process where computers are given access to mountains of data, along with a set of analysis criteria (created
by an actual human being).
By abandoning traditional models and
processes and allowing augmented human intelligence through our patented
machine learning, Stratifyd has enabled our customers to turn their unstructured and unused data into revenue opportunities.
(In lieu of normative definitions here is an incomplete list of new developments which have emerged in the last 20 years: news satellites, color television, cable relay television, cassettes, videotape, videotape recorders, video - phones, stereophony, laser techniques, electrostatic reproduction
processes, electronic high - speed printing, composing and
learning machines, microfiches with electronic access, printing
by radio, time - sharing computers, data banks.
Machine learning is the
process by which software developers train an AI algorithm, using massive amounts of data relevant to the task at hand.
In this case, seven different characteristics were necessary for predicting how the materials behaved, and our team's grad student Cory Simon's application of
machine learning techniques greatly sped up the material discovery
process by eliminating those that didn't meet the criteria.»
Finally, the big data produced
by high throughput, high resolution and high speed imaging techniques is managed,
processed and analysed through
machine learning approaches.
Machine learning techniques provide cost - effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events
by processing existing information to train models.
Real estate technology firms are streamlining the capital formation
process between real estate operators and their investors
by developing a comprehensive suite of tools that include dashboards,
machine learning and predictive modeling to augment the human element of real estate sourcing, underwriting and investing.
Vetrax technology is powered
by proprietary
machine learning algorithms that
process the data collected
by the sensor to deliver actionable insights for veterinarians» treatment protocols.
Like its legal AI counterparts in France, it is, fundamentaly: a. a new generation search engine, which uses natural language
processing powered
by assisted
machine learning and semantic analysis.
Co-founded
by Faiza Malik and Syed Hussaini, Splyt focuses on uncontested divorce in Ontario and utilizes artificial intelligence and
machine learning to give consumers guidance with a quicker, inexpensive and more efficient divorce application
process online.
TagDox makes Document Analysis easy, precise and fast
by optimizing the
process through cutting edge
machine learning and Artificial Intelligence.
Using
machine learning, Diligen cuts contract review time in half
by streamlining the end - to - end
process of sorting documents, summarizing contracts, and spotting critical provisions.
The reports would need to track relationships between regulations and keep up to date
by using a technology solution like
machine learning, artificial intelligence or natural language
processing to collect this information and provide clear, structured and actionable reporting on regulatory changes.
In eDiscovery, discussions about «artificial intelligence» generally focus on predictive coding — the
machine learning process that reduces the time human reviewers must spend reading non-relevant information —
by teaching the software to analyse periodic human feedback,
learn for itself what information reviewers are actually interested in, and then locate that information.
Rank Brain is a
machine -
learning system developed
by Google and is used to help
process search results from queries entered
by users.
Foges explains that Luminance «brings together different strands:
machine learning, natural language
processing, and statistical probability
by using inference to develop something completely new, which enables a
machine to read vast quantities of documentation, to compare them all simultaneously, and to understand what's in them and why they are different from each other.»
DataNovo enables law firms and legal practitioners to capitalize on cost and time - saving strategies
by providing synthetic legal expert prior art search results via DataNovo's natural language
processing of documents, with
machine learning and data mining techniques to give you expert results at minimal cost and time.
At the most basic level, predictive coding is a «
machine learning»
process that involves using software to take information entered
by people and applying that logic to much larger data sets.
Applications that combine natural language
processing and
machine -
learning are conducting legal research that was previously undertaken
by junior associates.
ContractPodAi ®'s artifically intelligent contract analyst EːV ® uses IBM Watson's market leading cognitive technology,
machine learning and natural language
processing - in addition to being trained
by senior commercial lawyers — to deliver significantly higher contract analysis accuracy levels than currently available.
LegalSifter utilizes
machine learning and natural language
processing to review contracts uploaded
by users.
And use a variety of natural language
processing and
machine learning tools to make sense of all of the data from PACER, which
by the way is literally just a bunch of raw PDFs and docket information that's typed in from the clerks.
Many of the papers presented spoke about this
machine learning aspect of AI using primarily natural language
processing informed
by logic and statistical analysis of legal texts.
Powered
by research at Chicago - Kent's Law Lab, our J.D. Certificate Program in Innovation and Technology emphasizes core competencies in quantitative methods and emerging technologies — predictive analytics,
machine learning,
process improvement and more — to make the delivery of legal services better and more efficient.
HSF joins a growing number of law firms to now publicly embrace the use of AI and to actively engage with clients to find out what services they want to be supported
by machine learning and natural language
processing (NLP) technology.
The breakthroughs in natural language
processing and
machine translation brought
by deep
learning might enable us to build a trope of science - fiction...
For what it's worth, Google says none of the audio or data ever leaves your phone, and it's powered
by machine learning processes right on the device.
Android Oreo wants to fix that
by infusing some
machine learning into the
process.
The endless streams of data generated
by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of
processing can you do on such data, and how do you combine it with data from other sources or feed it to your
machine learning pipelines, and do this at production scale?
Founded in 2014 at the New Media Research Lab in Stellenbosch, the startup is run
by a team of experienced specialists in disciplines such as cryptocurrency, signal
processing,
machine learning and media economics.
With the rising popularity of smartphone assistants powered
by machine learning, it seems that every company is attempting to create their own version with distinct features enabled
by natural language
processing and computer vision.
Where the GoPro has its own audience of enthusiasts and the HTC Re attempted to reach a more casual group
by just being a camera, Google Clips hopes to rope in more people
by making the sorting and sharing
process easier through Google Lens instant recognition,
machine learning and durability.
The Honor 8 is also set to benefit from the
machine learning algorithms of EMUI 5.0, which, according to Huawei will «dynamically optimize the
processing resources
by analyzing the user's behavior over time and prioritizing the frequently used apps.»
Google revealed the Pixel 2's and Pixel 2 XL's HDR + and
machine learning capabilities for computational photo
processing will be the result of work
by the Pixel Visual Core, the company's first - ever own - design co-processor.
Samsung has likely based its designs on the Cortex - A75 and Cortex - A55 announced
by ARM in the middle of last year, both of which have put an emphasis on improving and accelerating
machine -
learning processes and things like augmented and virtual reality.
Powered
by Artificial Intelligence (AI),
Machining Learning and Semantic Technology, Textkernel products speed up the recruitment
process by:
Originally conceptualized and studied
by developmental psychologists, the concept of synchrony is now relevant to many different fields of study including social signal
processing, robotics and
machine learning [47], [48].
It's an estimate created
by a sophisticated
machine -
learning process, and it's meant to be used as a starting point in determining a home's value.